study-crew-v2

AI-powered study assistant built with CrewAI.
Upload study materials (PDFs), and interact with an intelligent agent crew to generate summaries and structured notes.

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🚀 Features

• 🧠 Extracts text from PDF study material
• ✍️ Generates concise summaries and structured notes
• 🤖 Modular CrewAI agent orchestration
• ⚙️ Extensible tool setup and agent config via YAML

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📁 Project Structure

study_crew_v2/
├── pyproject.toml
├── poetry.lock
├── knowledge/             # Upload your PDF files here
├── src/
│   └── study_crew_v2/
│       ├── main.py        # Entrypoint to run the crew
│       ├── crew.py        # Crew and agent assembly
│       ├── config/
│       │   ├── agents.yaml
│       │   └── tasks.yaml
│       └── tools/
│           └── custom_tool.py
├── .env.example           # Example environment variables

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🛠️ Installation

This project uses Poetry for dependency management.

1. Clone the repo

git clone https://github.com/YOUR-USERNAME/study-crew-v2.git
cd study-crew-v2

2. Install Poetry (if not already installed)

curl -sSL https://install.python-poetry.org | python3 -

Or via pipx:

pipx install poetry

3. Install dependencies

poetry install

4. Create .env file

Duplicate the .env.example file and fill in your API keys and configuration:

cp .env.example .env

Edit .env with your Azure OpenAI details.

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🧪 Running the Project

Upload study materials

Place all your .pdf files in the knowledge/ directory.

Start the AI Crew

poetry run run_crew

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🔐 .env Configuration

Example .env.example:

model=azure/gpt-35-turbo
AZURE_OPENAI_API_KEY=your_azure_api_key_here
AZURE_OPENAI_ENDPOINT=https://your-endpoint.openai.azure.com/
AZURE_OPENAI_API_VERSION=2024-05-01-preview # API version for Azure OpenAI
AZURE_OPENAI_DEPLOYMENT_NAME=gpt-35-turbo # Deployment name for Azure OpenAI

OPENAI_API_KEY=your_azure_api_key_here

Both Azure OpenAI and OpenAI key fields are set for compatibility. Use Azure credentials for both.

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🧩 Dependencies

• crewai[tools]
• openai, langchain, langchain-openai, langchain-core, langchain-tools
• pymupdf for PDF parsing

All handled via Poetry in pyproject.toml.

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✍️ Author

Harsh Vardhan Sharma

GitHub Profile

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